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What If We Simply Swap the Two Text Fragments? A Straightforward yet
  Effective Way to Test the Robustness of Methods to Confounding Signals in
  Nature Language Inference Tasks

What If We Simply Swap the Two Text Fragments? A Straightforward yet Effective Way to Test the Robustness of Methods to Confounding Signals in Nature Language Inference Tasks

7 September 2018
Haohan Wang
Da-You Sun
Eric Xing
ArXivPDFHTML

Papers citing "What If We Simply Swap the Two Text Fragments? A Straightforward yet Effective Way to Test the Robustness of Methods to Confounding Signals in Nature Language Inference Tasks"

32 / 32 papers shown
Title
Adversarially Regularising Neural NLI Models to Integrate Logical
  Background Knowledge
Adversarially Regularising Neural NLI Models to Integrate Logical Background Knowledge
Pasquale Minervini
Sebastian Riedel
AAML
NAI
GAN
56
119
0
26 Aug 2018
Confounding variables can degrade generalization performance of
  radiological deep learning models
Confounding variables can degrade generalization performance of radiological deep learning models
J. Zech
Marcus A. Badgeley
Manway Liu
A. Costa
J. Titano
Eric K. Oermann
OOD
83
1,175
0
02 Jul 2018
Enhancing Sentence Embedding with Generalized Pooling
Enhancing Sentence Embedding with Generalized Pooling
Qian Chen
Zhenhua Ling
Xiao-Dan Zhu
49
68
0
26 Jun 2018
Stress Test Evaluation for Natural Language Inference
Stress Test Evaluation for Natural Language Inference
Aakanksha Naik
Abhilasha Ravichander
Norman M. Sadeh
Carolyn Rose
Graham Neubig
ELM
67
376
0
02 Jun 2018
Semantic Sentence Matching with Densely-connected Recurrent and
  Co-attentive Information
Semantic Sentence Matching with Densely-connected Recurrent and Co-attentive Information
Seonhoon Kim
Inho Kang
Nojun Kwak
57
217
0
29 May 2018
Hypothesis Only Baselines in Natural Language Inference
Hypothesis Only Baselines in Natural Language Inference
Adam Poliak
Jason Naradowsky
Aparajita Haldar
Rachel Rudinger
Benjamin Van Durme
227
579
0
02 May 2018
Stochastic Answer Networks for Natural Language Inference
Stochastic Answer Networks for Natural Language Inference
Xiaodong Liu
Kevin Duh
Jianfeng Gao
BDL
43
45
0
21 Apr 2018
Learning General Purpose Distributed Sentence Representations via Large
  Scale Multi-task Learning
Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning
Sandeep Subramanian
Adam Trischler
Yoshua Bengio
C. Pal
SSL
60
330
0
30 Mar 2018
Removing Confounding Factors Associated Weights in Deep Neural Networks
  Improves the Prediction Accuracy for Healthcare Applications
Removing Confounding Factors Associated Weights in Deep Neural Networks Improves the Prediction Accuracy for Healthcare Applications
Haohan Wang
Zhenglin Wu
Eric Xing
OOD
57
41
0
20 Mar 2018
Annotation Artifacts in Natural Language Inference Data
Annotation Artifacts in Natural Language Inference Data
Suchin Gururangan
Swabha Swayamdipta
Omer Levy
Roy Schwartz
Samuel R. Bowman
Noah A. Smith
136
1,177
0
06 Mar 2018
Deep contextualized word representations
Deep contextualized word representations
Matthew E. Peters
Mark Neumann
Mohit Iyyer
Matt Gardner
Christopher Clark
Kenton Lee
Luke Zettlemoyer
NAI
202
11,546
0
15 Feb 2018
Deep Learning for Genomics: A Concise Overview
Deep Learning for Genomics: A Concise Overview
Tianwei Yue
Yuanxin Wang
Longxiang Zhang
Chunming Gu
Haohan Wang
Wenping Wang
Qi Lyu
Yujie Dun
AILaw
VLM
BDL
52
90
0
02 Feb 2018
Reinforced Self-Attention Network: a Hybrid of Hard and Soft Attention
  for Sequence Modeling
Reinforced Self-Attention Network: a Hybrid of Hard and Soft Attention for Sequence Modeling
Tao Shen
Dinesh Manocha
Guodong Long
Jing Jiang
Sen Wang
Chengqi Zhang
AI4TS
95
144
0
31 Jan 2018
Compare, Compress and Propagate: Enhancing Neural Architectures with
  Alignment Factorization for Natural Language Inference
Compare, Compress and Propagate: Enhancing Neural Architectures with Alignment Factorization for Natural Language Inference
Yi Tay
Anh Tuan Luu
S. Hui
66
100
0
30 Dec 2017
Neural Natural Language Inference Models Enhanced with External
  Knowledge
Neural Natural Language Inference Models Enhanced with External Knowledge
Qian Chen
Xiao-Dan Zhu
Zhenhua Ling
Diana Inkpen
Si Wei
47
217
0
12 Nov 2017
Shortcut-Stacked Sentence Encoders for Multi-Domain Inference
Shortcut-Stacked Sentence Encoders for Multi-Domain Inference
Yixin Nie
Joey Tianyi Zhou
67
126
0
07 Aug 2017
Recurrent Neural Network-Based Sentence Encoder with Gated Attention for
  Natural Language Inference
Recurrent Neural Network-Based Sentence Encoder with Gated Attention for Natural Language Inference
Qian Chen
Xiao-Dan Zhu
Zhenhua Ling
Si Wei
Hui Jiang
Diana Inkpen
45
98
0
04 Aug 2017
Learning to Compose Task-Specific Tree Structures
Learning to Compose Task-Specific Tree Structures
Jihun Choi
Kang Min Yoo
Sang-goo Lee
63
189
0
10 Jul 2017
Supervised Learning of Universal Sentence Representations from Natural
  Language Inference Data
Supervised Learning of Universal Sentence Representations from Natural Language Inference Data
Alexis Conneau
Douwe Kiela
Holger Schwenk
Loïc Barrault
Antoine Bordes
AI4TS
SSL
223
2,103
0
05 May 2017
A Broad-Coverage Challenge Corpus for Sentence Understanding through
  Inference
A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference
Adina Williams
Nikita Nangia
Samuel R. Bowman
513
4,476
0
18 Apr 2017
Making the V in VQA Matter: Elevating the Role of Image Understanding in
  Visual Question Answering
Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering
Yash Goyal
Tejas Khot
D. Summers-Stay
Dhruv Batra
Devi Parikh
CoGe
322
3,235
0
02 Dec 2016
Select-Additive Learning: Improving Generalization in Multimodal
  Sentiment Analysis
Select-Additive Learning: Improving Generalization in Multimodal Sentiment Analysis
Haohan Wang
Aaksha Meghawat
Louis-Philippe Morency
Eric Xing
68
153
0
16 Sep 2016
Neural Tree Indexers for Text Understanding
Neural Tree Indexers for Text Understanding
Tsendsuren Munkhdalai
Hong-ye Yu
63
104
0
15 Jul 2016
Stochastic Function Norm Regularization of Deep Networks
Stochastic Function Norm Regularization of Deep Networks
Amal Rannen Triki
Anderson C. A. Nascimento
63
274
0
30 May 2016
Modelling Interaction of Sentence Pair with coupled-LSTMs
Modelling Interaction of Sentence Pair with coupled-LSTMs
Pengfei Liu
Xipeng Qiu
Xuanjing Huang
42
47
0
18 May 2016
A Fast Unified Model for Parsing and Sentence Understanding
A Fast Unified Model for Parsing and Sentence Understanding
Samuel R. Bowman
Jon Gauthier
Abhinav Rastogi
Raghav Gupta
Christopher D. Manning
Christopher Potts
53
314
0
19 Mar 2016
Long Short-Term Memory-Networks for Machine Reading
Long Short-Term Memory-Networks for Machine Reading
Jianpeng Cheng
Li Dong
Mirella Lapata
AIMat
RALM
93
1,118
0
25 Jan 2016
Learning Natural Language Inference with LSTM
Learning Natural Language Inference with LSTM
Shuohang Wang
Jing Jiang
96
446
0
30 Dec 2015
Order-Embeddings of Images and Language
Order-Embeddings of Images and Language
Ivan Vendrov
Ryan Kiros
Sanja Fidler
R. Urtasun
103
546
0
19 Nov 2015
Reasoning about Entailment with Neural Attention
Reasoning about Entailment with Neural Attention
Tim Rocktaschel
Edward Grefenstette
Karl Moritz Hermann
Tomás Kociský
Phil Blunsom
NAI
60
761
0
22 Sep 2015
A large annotated corpus for learning natural language inference
A large annotated corpus for learning natural language inference
Samuel R. Bowman
Gabor Angeli
Christopher Potts
Christopher D. Manning
300
4,282
0
21 Aug 2015
Improved Semantic Representations From Tree-Structured Long Short-Term
  Memory Networks
Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks
Kai Sheng Tai
R. Socher
Christopher D. Manning
AIMat
135
3,118
0
28 Feb 2015
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